Senior Authorization Software Engineer, Pallet

• 6+ years of software, backend, infrastructure, or platform engineering experience
• Strong software engineering fundamentals and a track record of shipping production systems
• Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security
• Strong understanding of cloud infrastructure, containers, networking, and distributed systems
• Experience designing platforms, tooling, or abstractions that other engineers depend on
• Comfortable moving from a blank document to a production deployment with minimal oversight
• High ownership and strong engineering judgment
• You write code every day and want to continue doing so

Desirable

• Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech
• Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We’re looking for a founding engineer to build the security and platform foundations of the company from the ground up
• This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years
• Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks:
• What happens when this fails?
• Who should have access to this?
• How do we reduce the blast radius?
• Can we eliminate this problem entirely?
• And then builds the answer
• You’ll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area
• What You'll Do:
• Build and maintain the core platform services that power Pallet’s AI systems and developer workflows
• Design and implement authentication, authorization, secrets management, and access control systems
• Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities
• Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems
• Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability
• Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure
• Identify systemic risks and eliminate entire categories of operational, security, and reliability problems
• Own projects from architecture through production rollout
• Our tech stack:
• Database: PostgreSQL
• Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP
• LLMs: OpenAI, Anthropic, Google (foundation models), Browserbase (browser automation)
• Frontend: React + TypeScript, hosted on Vercel